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from __future__ import annotations
from typing import List, Literal, Optional, Dict, Any
from pydantic import BaseModel, Field, confloat
class Preference(BaseModel):
condition: str = Field(
..., min_length=1, max_length=128, description="When the rule applies"
)
action: str = Field(
..., min_length=1, max_length=256, description="What to do in that case"
)
confidence: confloat(ge=0.0, le=1.0) = Field(
..., description="Confidence the rule is correct"
)
class PreferenceList(BaseModel):
preferences: List[Preference] = Field(default_factory=list)
def preference_list_json_schema() -> dict:
return PreferenceList.model_json_schema()
class ChatTurn(BaseModel):
user_id: str
session_id: str
turn_id: int
role: Literal["user", "assistant"]
text: str
timestamp: Optional[float] = None
meta: Dict[str, Any] = Field(default_factory=dict)
class MemoryCard(BaseModel):
card_id: str
user_id: str
source_session_id: str
source_turn_ids: List[int]
raw_queries: List[str] # The original user utterances
preference_list: PreferenceList
note_text: str # Summarized "condition: action" text
embedding_e: List[float] # The embedding vector
kind: Literal["pref", "fact"] = "pref"
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